Open AccessThe Study of Information Support System for Decision Making based on Kansei Engineering
Author(s) -
A. Hadiana,
A. A. Wahid,
A. Sofyan,
D. Hirawan,
K. Patalia,
M. Z. Faruqi
Publication year - 2021
Publication title -
european journal of engineering and technology research
Language(s) - English
Resource type - Journals
ISSN - 2736-576X
DOI - 10.24018/ejeng.2021.6.5.2533
Subject(s) - kansei engineering , kansei , product (mathematics) , principal component analysis , computer science , component (thermodynamics) , product design , feeling , statistical analysis , engineering , human–computer interaction , artificial intelligence , psychology , mathematics , social psychology , statistics , physics , geometry , thermodynamics
Kansei Engineering has been adopted as a method to analyze the relationship between human emotional factors and the critical elements design of system in developing a new product of software based on consumers’ emotion. However, the general analysis in kansei engineering has been using statistical analysis such as principal component analysis, factor analysis etc. in evaluating the data average gathered from all respondents, and then giving a recommendation the suitable product. This paper reports an attempt to discover the relationship between interface design of product and consumers’ emotion using Multiple Attribute Decision Making (MADM) method rather than using the convensional of statistical method. This research also recommends a global system design of kansei engineering system to support consumers’ decision in choosing the most desired product based on their real emotional feeling.